Reducing Impediments to Collaboration in a Virtual World

7 Pages Posted: 19 Mar 2002  

Satwik Seshasai

Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science

Amar Gupta

Massachusetts Institute of Technology (MIT)

Tara Sainath

Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science

Date Written: February 2002

Abstract

This paper presents a knowledge-based approach to reducing impediments to collaboration in a distributed environment. A major impediment to such collaboration is the issue of communications - clearly and efficiently expressing the desires of every stakeholder in the process, as well as the major decisions and the rationale behind these decisions. The approach described in this paper, embodied in the MATE system, provides a framework for making these decisions in the engineering design process, by eliciting and capturing the goals and desires of every stakeholder in the design process through utility and expense functions. The system uses a four faceted knowledge-based approach of knowledge acquisition, discovery, management and repository to focus on various areas of functionality to be used in the design process. The MATE approach will be combined with the SSPARCy approach, also developed in this group, to address crucial applications that are today contingent on geographical proximity to occur with equal or superior effectiveness in a virtual world. While this paper analyzes a situation involving engineering design, the proposed knowledge-based approach is equally applicable to collaboration in business, healthcare, government, and other environments.

Keywords: Collaboration, Design Rationale, Design of New Products, Knowledge Management, Knowledge Discovery, Transittion of Knowledge from One Version to Another, Automated Capture of Information

JEL Classification: M1, Z0

Suggested Citation

Seshasai, Satwik and Gupta, Amar and Sainath, Tara, Reducing Impediments to Collaboration in a Virtual World (February 2002). MIT Sloan Working Paper No. 4344-02; Eller College Working Paper No. 1027-05. Available at SSRN: https://ssrn.com/abstract=303172 or http://dx.doi.org/10.2139/ssrn.303172

Satwik Seshasai

Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science ( email )

47 Norris Street
Cambridge, MA 02140
United States
617-233-6725 (Phone)

Amar Gupta (Contact Author)

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
Building 32-256
Cambridge, MA 02139
United States
617-253-0418 (Phone)

Tara Sainath

Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science ( email )

77 Massachusetts Avenue
Cambridge, MA 02139-4307
United States

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